Triple
T8005440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edinson Cavani |
E186353
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Salto, Uruguay |
E562442
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Salto, Uruguay | Statement: [Edinson Cavani, birthPlace, Salto, Uruguay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salto, Uruguay Context triple: [Edinson Cavani, birthPlace, Salto, Uruguay]
-
A.
Salto, Uruguay
chosen
Salto, Uruguay is a major city in northwestern Uruguay known for its hot springs, agricultural production, and as the hometown of footballer Luis Suárez.
-
B.
Concepción del Uruguay
Concepción del Uruguay is a historic city in northeastern Argentina known for its colonial architecture, river port on the Uruguay River, and role in the country’s early political life.
-
C.
Salto, Argentina
Salto, Argentina is a city in the Buenos Aires Province known for its agricultural economy and location along the Salto River.
-
D.
Luque, Paraguay
Luque is a city in the Central Department of Paraguay, part of the Greater Asunción metropolitan area and an important administrative and commercial center.
-
E.
Paysandú
Paysandú is a major city in western Uruguay known as an important industrial and port center near the Argentine border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf72fc08190aa78b97c1ab92f90 |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccecaf89e88190b347abc200d1a266 |
completed | April 1, 2026, 10 a.m. |
Created at: March 30, 2026, 5:18 p.m.